71 research outputs found
Separation Framework: An Enabler for Cooperative and D2D Communication for Future 5G Networks
Soaring capacity and coverage demands dictate that future cellular networks
need to soon migrate towards ultra-dense networks. However, network
densification comes with a host of challenges that include compromised energy
efficiency, complex interference management, cumbersome mobility management,
burdensome signaling overheads and higher backhaul costs. Interestingly, most
of the problems, that beleaguer network densification, stem from legacy
networks' one common feature i.e., tight coupling between the control and data
planes regardless of their degree of heterogeneity and cell density.
Consequently, in wake of 5G, control and data planes separation architecture
(SARC) has recently been conceived as a promising paradigm that has potential
to address most of aforementioned challenges. In this article, we review
various proposals that have been presented in literature so far to enable SARC.
More specifically, we analyze how and to what degree various SARC proposals
address the four main challenges in network densification namely: energy
efficiency, system level capacity maximization, interference management and
mobility management. We then focus on two salient features of future cellular
networks that have not yet been adapted in legacy networks at wide scale and
thus remain a hallmark of 5G, i.e., coordinated multipoint (CoMP), and
device-to-device (D2D) communications. After providing necessary background on
CoMP and D2D, we analyze how SARC can particularly act as a major enabler for
CoMP and D2D in context of 5G. This article thus serves as both a tutorial as
well as an up to date survey on SARC, CoMP and D2D. Most importantly, the
article provides an extensive outlook of challenges and opportunities that lie
at the crossroads of these three mutually entangled emerging technologies.Comment: 28 pages, 11 figures, IEEE Communications Surveys & Tutorials 201
Rate-Splitting for Multi-Antenna Non-Orthogonal Unicast and Multicast Transmission
In a superimposed unicast and multicast transmission system, one layer of
Successive Interference Cancellation (SIC) is required at each receiver to
remove the multicast stream before decoding the unicast stream. In this paper,
we show that a linearly-precoded Rate-Splitting (RS) strategy at the
transmitter can efficiently exploit this existing SIC receiver architecture. By
splitting the unicast message into common and private parts and encoding the
common parts along with the multicast message into a super-common stream
decoded by all users, the SIC is used for the dual purpose of separating the
unicast and multicast streams as well as better managing the multi-user
interference between the unicast streams. The precoders are designed with the
objective of maximizing the Weighted Sum Rate (WSR) of the unicast messages
subject to a Quality of Service (QoS) requirement of the multicast message and
a sum power constraint. Numerical results show that RS outperforms existing
Multi-User Linear-Precoding (MU-LP) and power-domain Non-Orthogonal Multiple
Access (NOMA) in a wide range of user deployments (with a diversity of channel
directions and channel strengths). Moreover, since one layer of SIC is required
to separate the unicast and multicast streams, the performance gain of RS comes
without any increase in the receiver complexity compared with MU-LP. Hence, in
such non-orthogonal unicast and multicast transmissions, RS provides rate and
QoS enhancements at no extra cost for the receivers.Comment: arXiv admin note: text overlap with arXiv:1710.1101
Two-Layered Superposition of Broadcast/Multicast and Unicast Signals in Multiuser OFDMA Systems
We study optimal delivery strategies of one common and independent
messages from a source to multiple users in wireless environments. In
particular, two-layered superposition of broadcast/multicast and unicast
signals is considered in a downlink multiuser OFDMA system. In the literature
and industry, the two-layer superposition is often considered as a pragmatic
approach to make a compromise between the simple but suboptimal orthogonal
multiplexing (OM) and the optimal but complex fully-layered non-orthogonal
multiplexing. In this work, we show that only two-layers are necessary to
achieve the maximum sum-rate when the common message has higher priority than
the individual unicast messages, and OM cannot be sum-rate optimal in
general. We develop an algorithm that finds the optimal power allocation over
the two-layers and across the OFDMA radio resources in static channels and a
class of fading channels. Two main use-cases are considered: i) Multicast and
unicast multiplexing when users with uplink capabilities request both
common and independent messages, and ii) broadcast and unicast multiplexing
when the common message targets receive-only devices and users with uplink
capabilities additionally request independent messages. Finally, we develop a
transceiver design for broadcast/multicast and unicast superposition
transmission based on LTE-A-Pro physical layer and show with numerical
evaluations in mobile environments with multipath propagation that the capacity
improvements can be translated into significant practical performance gains
compared to the orthogonal schemes in the 3GPP specifications. We also analyze
the impact of real channel estimation and show that significant gains in terms
of spectral efficiency or coverage area are still available even with
estimation errors and imperfect interference cancellation for the two-layered
superposition system
- …